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There is no need to express the necessity of forecasting time series data by deep learning methods. I did provide an article about how we can handle the variations in statistical features (particularly, distribution perspective), which can lead us to a disaster. The model proposed is named AdaRNN, including two main initiatives, TDC and TDM. This article is going to illustrate TDC in detail.
https://medium.com/@rezayazdanfar/how-to-code-temporal-distribution-characterization-tdc-for-time-series-916855cc2d6a
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Fun weekend project: Used Meta AI's NLLB model to translate COCO captions from English to Nepali. Can be a potential data generation method for low-resource languages.
Notebook URL: https://github.com/pmgautam/coco-captions-translation/blob/main/english_to_nepali_translation.ipynb
Any suggestions/feedback are welcomed.
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Most of the ones that I've seen are only text to speech. Would be great if there were one that took into account the source voice's inflections, pacing, etc.
So far I've only been able to find StarGANv2. Which one redditor used to create this. Is this the best there is or are there better alternatives?
Thanks!
EDIT:
Digging a bit deeper, I found this project called IMS-Toucan which has several very impressive demos on huggingface.
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Amazon SageMaker Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare high-quality features for machine learning (ML) applications via a visual interface. Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes. With Data Wrangler, you can […]
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In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that […]
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In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that […]
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“I get the chance to not only watch the future happen, but I can actually be a part of it and create it,” says Ugandan entrepreneur Emmanuel Kasigazi.
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Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data.
The post Social Media Sentiment Analysis Using Twitter Datasets appeared first on Data Science Central.
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“DIY” and “supercomputer” aren’t words typically used together. But a do-it-yourself supercomputer is exactly what students built at Southern Methodist University, in Dallas, using 16 NVIDIA Jetson Nano modules, four power supplies, more than 60 handmade wires, a network switch and some cooling fans. The project, dubbed SMU’s “baby supercomputer,” aims to help educate those Read article >
The post Tiny Computer, Huge Learnings: Students at SMU Build Baby Supercomputer With NVIDIA Jetson Edge AI Platform appeared first on NVIDIA Blog.
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https://discord.gg/ak24xSdr
Some of you may be interested in using AI art generation in a meanginful way, using symbols from tarot and Jungian archtypes. Feel free to join a server where we explore that and share ideas and artwork!
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Node.js and Python are the most popular technologies for backend development. And, when it comes to web development, it could be challenging to choose between Node.js & Python. The selection of the right technology stack for your project is critical. This is primarily dictated by the project’s cost, launch timeline & how efficient it is to maintain and scale.
The post Node.js vs Python: Which One Should You Use for Web Apps? appeared first on Data Science Central.
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Please consider submitting your paper to the AAAI2023 workshop on Dynamical Systems and Machine Learning !! The submission deadline has been extended to Nov 8.
When Machine Learning meets Dynamical Systems: Theory and Applications
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For those in NLP and Finance 🚀🚀🔥, there's a new demo on how to sparse transfer 2 dense BERT models and run inference on a live Twitter Stream. The models are able to classify finance topic and sentiment tweets. We also open sourced two new datasets for you to train your own models! You can read more about this effort in our blog.
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https://www.youtube.com/watch?v=gdDVn1LuYs4
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Here is a podcast episode with Chelsea Finn where we discuss some of the biggest bottlenecks in RL and robotics such as Sim2Real transferability, distribution shifts, and much more!
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Link: https://openreview.net/group?id=ICLR.cc/2023/Conference
A thread for ICLR '23 review related discussion.
What's your score?
Are you satisfied?
Other comments about the review process?
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Hi all, many of us have gotten a lot out of being part of the AI community on Twitter, and right now things seem kind of bleak for the bird app.
So, The Gradient is launching a new Twitter-like space for the AI community - Sigmoid Social.
We hope to ensure the thriving AI Twitter community can live on by maintaining this Mastodon instance going forward. Join Here
We welcome suggestions and questions!
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I have worked on several Document Understanding (DU) projects for my company during the last year. We've mainly used UiPath and Google's DocumentAI.
Even though I know how these models theoretically work, I'd like to study the code behind them. I want to learn how exactly they combine OCR, NLP and Computer Vision to achieve their tasks instead of treating them like black boxes.
However, to my surprise, I've failed to find an open-source implementation of a DU model so far.
Do you know of any such open-source projects or anything similar that will give me a deep insight into how these models work?
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Here is a podcast episode with Chelsea Finn where we discuss some of the biggest bottlenecks in RL and robotics such as Sim2Real transferability, distribution shifts, and much more!
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The last few years have seen rapid development in the field of deep learning. Although hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly encounter issues deploying their large deep learning models for applications such as natural language processing (NLP). In an […]
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Amazon SageMaker Data Wrangler is a UI-based data preparation tool that helps perform data analysis, preprocessing, and visualization with features to clean, transform, and prepare data faster. Data Wrangler pre-built flow templates help make data preparation quicker for data scientists and machine learning (ML) practitioners by helping you accelerate and understand best practice patterns for […]
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Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, […]
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Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, image, […]
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3D artist Rafi Nizam has worn many hats since starting his career as a web designer more than two decades ago, back when “designing for the web was still wild,” as he put it.
The post Meet the Omnivore: Indie Showrunner Transforms Napkin Doodles Into Animated Shorts With NVIDIA Omniverse appeared first on NVIDIA Blog.
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Here is a podcast episode with Chelsea Finn where we discuss some of the biggest bottlenecks in RL and robotics such as Sim2Real transferability, distribution shifts, and much more!
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https://www.nature.com/articles/s41598-022-19218-0
https://youtu.be/WyAspVjo6VI
Above links are to the paper and a talk about this research. (Starts at 1m35s)
We show how random threshold networks can compute complex Boolean functions in cascades or avalanches. This has many implications for neuroscience and other domains, and may help in discovering more efficient methods for learning in artificial networks.
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The Bonsai Brain is a low code AI component that is integrated with Automation systems. The Bonsai Brain focuses on adding value to various Autonomous and AI systems.
https://analyticsindiamag.com/bonsai-brain-in-azure-platform/
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The Bonsai Brain is a low code AI component that is integrated with Automation systems. The Bonsai Brain focuses on adding value to various Autonomous and AI systems.
https://analyticsindiamag.com/bonsai-brain-in-azure-platform/
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Digital transformation is the word of the decade as every organization is transforming its businesses. Learn how Artificial Intelligence accelerates this process.
Read here : https://www.artiba.org/blog/accelerating-digital-transformation-with-artificial-intelligence
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Did you know that acquiring a new customer can be between 5x and 25x MORE expensive than retaining a customer?
The effects of not focusing on customer churn prediction and prevention are particularly acute in industries such as telecommunications and banking. This could potentially result in the loss of recurring revenue and soft costs, such as your brand value diminishing from dissatisfied customers.
PI.EXCHANGE is holding a webinar where we show you how you can use Machine Learning to predict customer churn in the telecommunications industry with ZERO coding necessary.
Interested? Click here to register, limited spots available!
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In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. We also discussed how to extract various types of documents in an […]
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The goal of intelligent document processing (IDP) is to help your organization make faster and more accurate decisions by applying AI to process your paperwork. This two-part series highlights the AWS AI technologies that insurance companies can use to speed up their business processes. These AI technologies can be used across insurance use cases such […]
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To delight customers and minimize packaging waste, Amazon must select the optimal packaging type for billions of packages shipped every year. If too little protection is used for a fragile item such as a coffee mug, the item will arrive damaged and Amazon risks their customer’s trust. Using too much protection will result in increased […]
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Starting today, developers can begin building apps with the DALL·E API.
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The numbers are in, and they paint a picture of data centers going a deeper shade of green, thanks to energy-efficient networks accelerated with data processing units (DPUs). A suite of tests run with help from Ericsson, RedHat and VMware show power reductions up to 24% on servers using NVIDIA BlueField-2 DPUs. In one case, Read article >
The post Take the Green Train: NVIDIA BlueField DPUs Drive Data Center Efficiency appeared first on NVIDIA Blog.
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Skycatch, a San Francisco-based startup, has been helping companies mine both data and minerals for nearly a decade. The software-maker is now digging into the creation of digital twins, with an initial focus on the mining and construction industry, using the NVIDIA Omniverse platform for connecting and building custom 3D pipelines. SkyVerse, which is a Read article >
The post Unearthing Data: Vision AI Startup Digs Into Digital Twins for Mining and Construction appeared first on NVIDIA Blog.
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It’s a brand new month, which means this GFN Thursday is all about the new games streaming from the cloud. In November, 26 titles will join the GeForce NOW library. Kick off with 11 additions this week, like Total War: THREE KINGDOMS and new content updates for Genshin Impact and Apex Legends. Plus, leading 5G Read article >
The post Check Out 26 New Games Streaming on GeForce NOW in November appeared first on NVIDIA Blog.
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Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.
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Save times on creating models and data set cleansing. You can check out the demo I made https://youtu.be/81Q2aQWuwDM
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Intelligent document processing (IDP) has seen widespread adoption across enterprise and government organizations. Gartner estimates the IDP market will grow more than 100% year over year, and is projected to reach $4.8 billion in 2022. IDP helps transform structured, semi-structured, and unstructured data from a variety of document formats into actionable information. Processing unstructured data […]
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Computing systems that appear to generate brain-like activity may be the result of researchers guiding them to a specific outcome.
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Enjoy my reddit frens - I made a long blog post about it https://stuckincustoms.com/2022/11/01/34-crazy-photos-from-burning-man-that-dont-exist/?fbclid=IwAR24QGZngGqjhuhDNLaeY4WsxJchO48Qsqov31Y1y4mac3RjJ2Rdp8af3GQ
https://preview.redd.it/qvhx2blqidx91.png?width=784&format=png&auto=webp&s=98f7e1017591394d866ef34773d717d7aefac107
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This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers' abilities to drive safely and efficiently.
The post DSC Weekly 1 Nov 2022 – Why the Future Seldom Matches Expectations appeared first on Data Science Central.
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Wearable devices are gadgets that can comfortably be worn on a body. These devices have intelligent sensors connected to the internet for collecting data. The growing partnership and collaboration for bringing AI functionalities to wearable devices provide new developments in AI wearable devices in the coming years. In today’s busy schedule, people want to improve… Read More »AI Enable Wearable Devices: The Next Layer of IoT and Machine Learning
The post AI Enable Wearable Devices: The Next Layer of IoT and Machine Learning appeared first on Data Science Central.
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Every organization needs teamwork, and for a hybrid or digital workforce, it’s even more crucial. Your company may experience low chances of expansion and success if the team dynamics are unhealthy. Interacting with coworkers in a physical office setting offers numerous opportunities to learn about one another’s lives, discuss any problems, and plan initiatives. You… Read More »Strategies and Examples Of Effective Team Dynamics In A Digital Workspace
The post Strategies and Examples Of Effective Team Dynamics In A Digital Workspace appeared first on Data Science Central.
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Identifying, collecting, and transforming data is the foundation for machine learning (ML). According to a Forbes survey, there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. In addition, many of our customers face several challenges during the model operationalization phase […]
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Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. It’s an automated machine learning (AutoML) solution that eliminates the heavy lifting of handwritten ML models that requires ML expertise. Data scientists need to only provide a tabular dataset and select the target column to predict, […]
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Relentless advancement in technology is improving the decision-making capacity of humans and enterprises alike. Digitization of the physical world has accelerated the three dimensions of data: velocity, variety, and volume. This has made information more widely available than before, allowing for advancements in problem-solving. Now, with cloud-enabled democratized availability, technologies like artificial intelligence (AI) and […]
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Sponsored Post Attend the Data Science Symposium 2022 on November 8 The Center for Business Analytics at the University of Cincinnati will present its annual Data Science Symposium 2022 on November 8. This all day in-person event will have three featured speakers and two tech talk tracks with four concurrent presentations in each track. The […]
The post Attend the Data Science Symposium 2022, November 8 in Cincinnati appeared first on Machine Learning Mastery.
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A perpetual shower of random raindrops falls inside a three-foot metal ring Dale Durran erected outside his front door (shown above). It’s a symbol of his passion for finding order in the seeming chaos of the planet’s weather.
The post Stormy Weather? Scientist Sharpens Forecasts With AI appeared first on NVIDIA Blog.
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From robots playing football to learning how to walk on the moon! This article brings the top 8 reinforcement learning innovations that shaped AI across several industries in 2022.
https://analyticsindiamag.com/what-happened-in-reinforcement-learning-in-2022/
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ServiceNow and Hugging Face have released a 3.1TB dataset of permissively licensed code in 30 programming languages. This is about 4x larger than the dataset used to train GPT-3 (though obviously ‘code only’), and 3x the size of CodeParrot, the next largest released code dataset.
Paper: https://drive.google.com/file/d/17J-0KXTDzY9Esp-JqXYHIcy--i_7G5Bb/view
https://wandb.ai/telidavies/ml-news/reports/The-Stack-BigCode-s-New-3-TB-Dataset-Of-Permissively-Licensed-Code--VmlldzoyODY1MDUy
Hugging Face: https://huggingface.co/datasets/bigcode/the-stack
Twitter: https://twitter.com/BigCodeProject/status/1585631176353796097
Download The Stack: https://hf.co/BigCode
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
Source: https://twitter.com/BigCodeProject/status/1585631176353796097
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Github Repository: https://github.com/Sanster/lama-cleaner
https://reddit.com/link/yicyvd/video/cxv0jov6d5x91/player
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I'm looking to validate my new SaaS idea so sharing the landing page to see if I can build some interest.
Kiku Labs offers a way to get Jupyter Labs with powerful compute and storage for experimenting with your data science projects. The labs are saved and restored between sessions, and you're charged based on the usage.
Feel free to ask any questions.
Please join the waiting list if you're interested in the product.
https://kikulabs.com/
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Machine learning (ML) has proven to be one of the most successful and widespread applications of technology, affecting a wide range of industries and impacting billions of users every day. With this rapid adoption of ML into every industry, companies are facing challenges in supporting low-latency predictions and with high availability while maximizing resource utilization […]
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Amazon SageMaker JumpStart provides pre-trained, open-source models for a wide range of problem types to help you get started with machine learning (ML). JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for ML with Amazon SageMaker. As a business user, you get to do the following […]
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In the pursuit of superior accuracy, deep learning models in areas such as natural language processing and computer vision have significantly grown in size in the past few years, frequently counted in tens to hundreds of billions of parameters. Training these gigantic models is challenging and requires complex distribution strategies. Data scientists and machine learning […]
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A recent HBR article, “Why Do Chief Data Officers Have Such Short Tenures?” by Thomas Davenport, Randy Bean, and Josh King, highlighted the Chief Data Officer’s (CDO) “Data-to-Business Innovation” challenge. The main charter for the CDO is to accelerate the Data-to-Business Innovation flywheel; to guide the business in becoming more effective at leveraging data and analytics to optimize its key business and operational use cases.
The post Leveraging Agility to Create Economies of Learning Mindset – Part 1 appeared first on Data Science Central.
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Yes, stickers are fun and inexpensive. They can also be very helpful for some offline marketing, yes. But how in the world could they assist your web marketing campaign? We understand if those are your thoughts. Sticker printing might not be your first thought when planning your next viral campaign. But maybe it ought to…… Read More »How Custom Stickers could help your Viral Marketing Campaign
The post How Custom Stickers could help your Viral Marketing Campaign appeared first on Data Science Central.
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Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology.
The post Challenges to Successful AI Implementation in Healthcare appeared first on Data Science Central.
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any help would be really appreciated
https://github.com/openai/gym/issues/3141
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Artists deploying the critically acclaimed GeForce RTX 4090 GPUs are primed to receive significant performance boosts in key creative apps. Plus, a special spook-tober edition of In the NVIDIA Studio features two talented 3D artists and their Halloween-themed creations this week.
The post GeForce RTX 40 Series Receives Massive Creator App Benefits This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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One of the biggest names in racing is going even bigger. Performance automaker Lotus launched its first SUV, the Eletre, earlier this week. The fully electric vehicle sacrifices little in terms of speed and outperforms when it comes to technology. It features an immersive digital cockpit, lengthy battery range of up to 370 miles and Read article >
The post Think Fast: Lotus Eletre Tops Charts in Driving and AI Compute Speeds, Powered by NVIDIA DRIVE Orin appeared first on NVIDIA Blog.
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Venus ransomware has been active since August 2022. The attack campaign targets Remote Desktop services. Which cybersecurity measures should you take to stay safe?
The post Cybersecurity Measures Can Protect Windows Devices From Venus Ransomware appeared first on Data Science Central.
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Low code development is getting a lot of traction. Low code platform development provides a more accessible (and typically a graphical) interface for developing applications.
The post Low-code AI Development Could Be a Good Strategy for SMBs appeared first on Data Science Central.
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We have recently open sourced our inference acceleration library, voltaML.
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
We would love for the reddit and the open-source community to use it, give feedback and help us improve the library.
https://github.com/VoltaML/voltaML
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Data loss is a highly possible and ugly eventuality that can befall any business. But you can prevent it by backing up your information before the proverbial rainy day.
The post A Guide to Data Protection Methods appeared first on Data Science Central.
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Developers have fallen into a problem-solution loop. There is a continuous effort to solve one or another problem in the developer community. Ironically, there are so many solutions now that there is a need for another solution for the existing ones.
https://analyticsindiamag.com/could-astro-compete-with-next-js-to-become-the-next-big-framework/
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https://www.businesswire.com/news/home/20220903005014/en/Ant-Group-Makes-Trusted-AI-Solutions-More-Accessible-to-Support-Industrial-Collaboration-in-Digital-Economy
They only name TuGraph. Supposedly they made their "privacy-preserving computation framework open source" but there's no name or Github link. I contacted their media guy but no response.
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I don't dress my cat in costumes because, without even trying, I know she would hate that.
But now I can use text-to-image generators like DALL-E2 to imagine what she would look like in costumes. After all, even if it never saw my cat in a robot costume
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AI Weirdness: the strange side of machine learning
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Hi all,
Ikomia API is an open source tool for building and deploying Computer Vision solutions without much effort. It's a Python library built upon a C++ core. You can mix your preferred frameworks such as OpenCV, Detectron2, OpenMMLab or YOLO with the best state-of-the-art algorithms from individual repos.
At Ikomia, we deeply believe that sharing scientific knowledge is the key to success, that's why we try to make research-based algorithms ready-to-use for developers.
Ikomia is developed by developers for developers :)
More info on our GitHub.
You can try our Google Colab on YOLOv7 here if you are interested.
Support and feedback are welcome ;)
Enjoy !
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I am looking for something similar to this dataset but with about 1000 participants. If anyone could help with some leads I would really appreciate it.
Here is the dataset that I am referring to: https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data
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While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence
https://analyticsindiamag.com/is-reinforcement-learning-still-relevant/
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Sponsored Post Over the past few years, a lot has changed in the world of stream processing systems. This is especially true as companies manage larger amounts of data than ever before. In fact, roughly 2.5 quintiliion bytes worth of data are generated every day. Manually processing the sheer amount of data that […]
The post Data Engineering for ML: Optimize for Cost Efficiency appeared first on Machine Learning Mastery.
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One of China’s popular battery-electric startups now has the brains to boot. NETA Auto, a Zheijiang-based electric automaker, this week announced it will build its future electric vehicles on the NVIDIA DRIVE Orin platform. These EVs will be software defined, with automated driving and intelligent features that will be continuously upgraded via over-the-air updates. This Read article >
The post Neural NETA: Automaker Selects NVIDIA DRIVE Orin for AI-Powered Vehicles appeared first on NVIDIA Blog.
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When customers walk into a Microsoft Experience Center in New York City, Sydney or London, they’re instantly met with stunning graphics displayed on multiple screens and high-definition video walls inside a multi-story building. Built to showcase the latest technologies, Microsoft Experience Centers surround customers with vibrant, immersive graphics as they explore new products, watch technical Read article >
The post Microsoft Experience Centers Display Scalable, Real-Time Graphics With NVIDIA RTX and Mosaic Technology appeared first on NVIDIA Blog.
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This spook-tacular Halloween edition of GFN Thursday features a special treat: 40% off a six-month GeForce NOW Priority Membership — get it for just $29.99 for a limited time. Several sweet new games are also joining the GeForce NOW library. Creatures of the night can now stream vampire survival game V Rising from the cloud. Read article >
The post Make Gaming a Priority: Special Membership Discount Hits GeForce NOW for Limited Time appeared first on NVIDIA Blog.
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This post is co-written with Chaim Rand from Mobileye. Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. When both types of tasks run on the same […]
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With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China region’s top convenience store chains, has been seeking a solution to reduce food waste (currently over $3.5 million USD per year). Doing so will allow them to not only realize substantial operating savings, but also support corporate […]
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Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
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Proceedings - First International Symposium on the Tsetlin Machine
Finally it is here! The proceedings of The First International Symposium on the Tsetlin Machine. Fourteen exciting papers advancing the Tsetlin machine research. Many thanks to the authors, my co-organizers, and all the supporters of the Tsetlin machine - we build this together. #democraticAI #greenAI #logicbasedAI https://ieeexplore.ieee.org/xpl/conhome/9923753/proceeding
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We are releasing Kernl under Apache 2 license, a library to make PyTorch models inference significantly faster. With 1 line of code we applied the optimizations and made Bert up to 12X faster than Hugging Face baseline. T5 is also covered in this first release (> 6X speed up generation and we are still halfway in the optimizations!). This has been possible because we wrote custom GPU kernels with the new OpenAI programming language Triton and leveraged TorchDynamo.
Project link: https://github.com/ELS-RD/kernl/
E2E demo notebooks: XNLI classification, T5 generation
Benchmarks ran on a 3090 RTX GPU, 12 cores Intel CPU, more info below
On long sequence length inputs, Kernl is most of the time the fastest inference engine, and close to Nvidia TensorRT on shortest ones. Keep in mind that B…
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Hi all,
Thought it would be helpful for the people in this group on whoever is doing research and developments in speech AI.
There is free digital speech AI summit coming up where industry and research experts coming together from Google, Meta and NVIDIA to talk about latest work in research, production and open-source.
Register here (https://www.nvidia.com/en-us/events/speech-ai-summit/), if you are interested.
If you have any questions, please leave a comment and I will do my best to respond as soon as possible.
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I posted the question on StackOverflow
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Hello RL learners,
You might find this repository helpful to apply what you have been learning in the DeepMind's RL course.
https://github.com/mhd-medfa/IU-Reinforcement-Learning-22-lab
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In the 2002 movie Minority Report (based on a short story by Philip K Dick), director Steven Spielberg imagined a future in which three psychics can "see" murders before they happen. Their clairvoyance allows Tom Cruise and his "Precrime" police force to avert nearly all potential homicides.
Twenty years on, in the real world, scientists and law enforcement agencies are using data mining and machine learning to mimic those psychics. Such "predictive policing", as it is called, is based on the fact that many crimes—and criminals—have detectable patterns.
Predictive policing has enjoyed some successes. In a case study in the US, one police department was able to reduce gun incidents by 47% over the typically gun-happy New Year's Eve. Manchester police in the UK were similarly able to predi…
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Note: this post was completed as part of a written work trial for Epoch.
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Today Amazon SageMaker announced the support of Grid search for automatic model tuning, providing users with an additional strategy to find the best hyperparameter configuration for your model. Amazon SageMaker automatic model tuning finds the best version of a model by running many training jobs on your dataset using a range of hyperparameters that you […]
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Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale machine learning (ML) models. It provides a pay-per-use model, which is ideal for services where endpoint invocations are infrequent and unpredictable. Unlike a real-time hosting endpoint, which is backed by a long-running instance, compute resources for […]
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Monitoring machine learning (ML) predictions can help improve the quality of deployed models. Capturing the data from inferences made in production can enable you to monitor your deployed models and detect deviations in model quality. Early and proactive detection of these deviations enables you to take corrective actions, such as retraining models, auditing upstream systems, […]
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In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions. The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, […]
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There’s a new sidewalk-savvy robot, and it’s delivering coffee, grub and a taste of fun. The bot is garnering interest for Oakland, Calif., startup Cartken. The company, founded in 2019, has rapidly deployed robots for a handful of customer applications, including for Starbucks and Grubhub deliveries. Cartken CEO Chris Bersch said that he and co-founders Read article >
The post Jetson-Driven Grub Getter: Cartken Rolls Out Robots-as-a-Service for Deliveries appeared first on NVIDIA Blog.
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New Features
Vectorized gym support: Added a new problem class, evotorch.neuroevolution.VecGymNE, to solve vectorized gym environments. This new problem class can work with brax environments and can exploit GPU acceleration.
PicklingLogger: Added a new logger, evotorch.logging.PicklingLogger, which periodically pickles and saves the current solution to the disk.
Python 3.7 support: The Python dependency was lowered from 3.8 to 3.7. Therefore, EvoTorch can now be imported from within a Google Colab notebook.
Fixes
Fixed a performance issue caused by the undesired cloning of the entire storages of tensor slices.
Fixed the signature and the docstrings of the overridable method _do_cross_over(...) of the class evotorch.operators.CrossOver.
Check out the release and try it now:
https://github.com/nnaisense/evotorch/releases/tag/v0.3.0
Below you can see some videos of agents trained for Brax environments using EvoTorch and vectorized neuroevolution!
Humanoid Environment
Fetch Environment
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New Features
Vectorized gym support: Added a new problem class, evotorch.neuroevolution.VecGymNE, to solve vectorized gym environments. This new problem class can work with brax environments and can exploit GPU acceleration.
PicklingLogger: Added a new logger, evotorch.logging.PicklingLogger, which periodically pickles and saves the current solution to the disk.
Python 3.7 support: The Python dependency was lowered from 3.8 to 3.7. Therefore, EvoTorch can now be imported from within a Google Colab notebook.
Fixes
Fixed a performance issue caused by the undesired cloning of the entire storages of tensor slices.
Fixed the signature and the docstrings of the overridable method _do_cross_over(...) of the class evotorch.operators.CrossOver.
Check out the release and try it now:
https://github.com/nnaisense/evotorch/releases/tag/v0.3.0
Below you can see some videos of agents trained for Brax environments using EvoTorch and vectorized neuroevolution!
Humanoid Environment
Fetch Environment
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You can read the full announcement post here: https://farama.org/Announcing-The-Farama-Foundation
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AutoPrognosis is an AutoML library for tabular data focused on survival analysis or classification tasks. The library can select optimal prediction pipelines for a given dataset and a task type and can handle data missingness using HyperImpute.
On top of that, the library provides interpretability and uncertainty information, and can be used to build end-to-end apps on top of Streamlit.
Code: https://github.com/vanderschaarlab/autoprognosis
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This video was generated with AI by 200 carefully engineered prompts, resulting in 7361 images. Let me know what you think. I am happy to answer any questions and if you want to collaborate let me know!
https://www.youtube.com/watch?v=n-qjJWc21d8
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This post was co-written with Sachin Kadyan, a leading developer of OpenFold. In drug discovery, understanding the 3D structure of proteins is key to assessing the ability of a drug to bind to it, directly impacting its efficacy. Predicting the 3D protein form, however, is very complex, challenging, expensive, and time consuming, and can take […]
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This post walks you through a few new features that make it simple to design a conversational flow entirely within Amazon Lex that adheres to best practices for IVR design related to retry prompting. We also cover how to configure a DTMF-only prompt as well as other attributes like timeouts and barge-in. When designing an […]
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As AI adoption is accelerating across the industry, customers are building sophisticated models that take advantage of new scientific breakthroughs in deep learning. These next-generation models allow you to achieve state-of-the-art, human-like performance in the fields of natural language processing (NLP), computer vision, speech recognition, medical research, cybersecurity, protein structure prediction, and many others. For […]
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In September, Kaggle released their annual survey for the state of data science and machine learning Here are some top level findings I found interesting An increasing number of data scientists are living and working in India and Japan Python and SQL remain the two most common programming skills for data scientists VSCode is now… Read More »State of Data Science and Machine Learning: Kaggle 2022 Survey
The post State of Data Science and Machine Learning: Kaggle 2022 Survey appeared first on Data Science Central.
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Snowflake is one of the most popular cloud data warehouses today. In just one decade, the company has grown to more than 6,800 enterprise customers and $1.2 billion in annual revenue, more than double its prior year. Like other cloud data warehouses, including Databricks, Amazon RedShift, and Google BigQuery, Snowflake boasts an attractive combination of… Read More »Snowflake Users and Their Data: A Report on Snowflake Users and How They Optimize Their Data
The post Snowflake Users and Their Data: A Report on Snowflake Users and How They Optimize Their Data appeared first on Data Science Central.
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I received outstanding feedback from many folks in updating the Data Product Development canvas including Jon Cooke, Harsha Srivatsa, Craig (Doc) Savage, Melissa Perry, Raj Yakkali, Erik Burd, and Mark Stouse amongst the many. And as I like to say, “All ideas are worthy of consideration” and I did consider all your input as I… Read More »Data Subassemblies and Data Products Part 3 – Data Product Dev Canvas
The post Data Subassemblies and Data Products Part 3 – Data Product Dev Canvas appeared first on Data Science Central.
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Are you wondering how to protect your organization’s data against ransomware attacks? You have come to the right place. Avoiding ransomware isn’t a Herculean task, but before we share the specifics of how to prevent ransomware attacks, we would like to talk about what exactly ransomware attacks are. What Are Ransomware Attacks? There are different… Read More »10 Tips to Protect Your Organization Against Ransomware Attacks in 2022
The post 10 Tips to Protect Your Organization Against Ransomware Attacks in 2022 appeared first on Data Science Central.
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The future is here, and it's coming for your job. That's the claim of many pundits, who argue that artificial intelligence (AI) will…
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It’s a good time to be alive. Not only do we have the privilege of witnessing history in the making, but we also have access to some of the…
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As businesses strive to create more engaging content, many are turning to AI story generators as a way to produce high-quality content…
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Testing is essential to guaranteeing success in the very cutthroat environment of the mobile app and game industry. Even if you don’t give…
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This week 'In the NVIDIA Studio,' we’re highlighting 3D and motion graphics artist SouthernShotty — and scenes from his soon-to-be released short film, Watermelon Girl.
The post 3D Artist SouthernShotty Creates Wholesome Characters This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Blog post: https://fillout.com/blog/how-we-used-ai-to-improve-our-user-onboarding/
I shared Fillout last week and several of you asked how it works under the hood. Wrote this quick blog post to explain how. Let me know what you think!
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Hi,
I'd like to introduce a human segmentation toolkit called PP-HumanSeg.
This might be some help to you. Hope you enjoy it.
This toolkit has:
A large-scale video portrait dataset that contains 14K frames for conference scenes
Portrait segmentation models that achieve SOTA performance (mIoU 96.63%, 63 FPS on mobile phone)
Several out-of-box human segmentation models for real scene
Github: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/contrib/PP-HumanSeg
https://i.redd.it/qldxzglroqv91.gif
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In this post, we introduce a new analysis in the Data Quality and Insights Report of Amazon SageMaker Data Wrangler. This analysis assists you in validating textual features for correctness and uncovering invalid rows for repair or omission. Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from […]
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In the past decade, we have seen Deep learning (DL) science adopted at a tremendous pace by AWS customers. The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. […]
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I have developed a framework named AIJack to simulate various attacks against machine learning models, mainly based on PyTorch and sklearn. I have implemented more than 20 algorithms, such as Model Inversion, Poisoning Attack, Evasion Attack, Federated Learning, Split Learning, Differential Privacy, and Homomorphic Encryption. I am looking forward to your feedback!
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Sensor AI solutions specialist SenSen has turned to the NVIDIA Jetson edge AI platform to help regulators track heavy vehicles moving across Australia. Australia’s National Heavy Vehicle Regulator, or NHVR, has a big job — ensuring the safety of truck drivers across some of the world’s most sparsely populated regions. They’re now harnessing AI to Read article >
The post Keep On Trucking: SenSen Harnesses Drones, NVIDIA Jetson, Metropolis to Inspect Trucks appeared first on NVIDIA Blog.
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 100 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 20 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
[UPDATE] ill pay 100 DOLLARS!
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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https://blog.tensorflow.org/2022/10/building-the-future-of-tensorflow.html
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Blockchain is a method for storing data that makes it harder to hack the system. The business blockchain is a distributed, encrypted database that its authorized users can only alter. Users have a complete say over how other users view data and what actions can be taken by other users within the network.
The post How Businesses can boost Revenue Using Blockchain Technology appeared first on Data Science Central.
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Banks and financial institutions offer great value and convenience to their end users. However, they are notorious for being susceptible to fraudulent attacks such as credit card identity theft. A lot has been done in adding layers of security to an individual’s banking experience.
The post How RFID Technology is Applied in Banks and Financial Institutions appeared first on Data Science Central.
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txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. A full-fledged vector search application can be created with a couple lines of code. There are also almost 40 example notebooks covering many different use cases.
5.1 adds new model support for the translation pipeline, OpenAI Whisper support in the transcription pipeline and ARM Docker images. Topic modeling was also updated with improvements, including how to use BM25/TF-IDF indexes to drive topic models.
GitHub | Release Notes | Docker Hub | Examples
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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I just also want to know how someone can believe that this thing is real. There's literally 5 different youtube channels doing the same thing and wanted to know what the engine they're using is.
youtube video: He Mastered All Elements And Overpowered The Gods - YouTube
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The Biden administration has launched a new workforce development funding program to help people, including those at community colleges, gain skills for emerging jobs in fields like AI, biotechnology, quantum science and new areas of advanced manufacturing and semiconductor.
Forbes article talks about how the program could scale AI education at new education and training providers where its not currently common like community colleges. Talks about Intel's work to get AI at community colleges in all 50 states by next year
https://www.forbes.com/sites/shalinjyotishi/2022/10/20/biden-administration-launches-new-workforce-program-for-emerging-technology-jobs
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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Hi,
I'd like to introduce EISeg , an efficient and interactive tool for segmentation annotation.
Hope this be some help for you 😀
Main Features:
You only need several clicks to finish annotation, improving the efficiency by 10 times
Support image and video as inputs
Provide specialized models for better performance , such as portrait, remote sensing, medical treatment, etc
Open-source, easy-to-use and powerful
Download: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/EISeg
Technical article: https://arxiv.org/abs/2210.08788
https://i.redd.it/1stngunj55v91.gif
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Hello there, I hope you all are doing well. I am AI research Engineer who has been working in the AI industry for almost two years now. I am also a Teacher Assistant at the university I graduated from. I had lots of work in NLP and some in CV, but quite a few in RL. Therefore, I want to push myself and work in the research field, specifically in RL. I will attach my Resume here. So that if you are interested in having strong soul, hard working guys in your team, please let me know!
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Halloween special 👻
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Fillout is the first AI-powered form builder. Just describe your form and our AI will instantly generate a form for you to customize.
We're live on Product hunt and would appreciate your support and feedback! https://www.producthunt.com/posts/fillout-com
Check out the demo video on that post to see how the AI works and let me know if you have any questions - I'll be around :)
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Posted by Wenhao Yu, Research Scientist, Robotics at Google, and Kuang-Huei Lee, Research Engineer, Google Research, Brain team
Evolution strategy (ES) is a family of optimization techniques inspired by the ideas of natural selection: a population of candidate solutions are usually evolved over generations to better adapt to an optimization objective. ES has been applied to a variety of challenging decision making problems, such as legged locomotion, quadcopter control, and even power system control.
Compared to gradient-based reinforcement learning (RL) methods like proximal policy optimization (PPO) and soft actor-critic (SAC), ES has several advantages. First, ES directly explores in the space of controller parameters, while gradient-based methods often explore within a limited actio…
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Collecting and annotating image data is one of the most resource-intensive tasks on any computer vision project. It can take months at a time to fully collect, analyze, and experiment with image streams at the level you need in order to compete in the current marketplace. Even after you’ve successfully collected data, you still have […]
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Amazon SageMaker and SageMaker inference endpoints provide a capability of training and deploying your AI and machine learning (ML) workloads. With inference endpoints, you can deploy your models for real-time or batch inference. The endpoints support various types of ML models hosted using AWS Deep Learning Containers or your own containers with custom AI/ML algorithms. […]
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This week vincentfunart and retromanni discuss how they collaborate to create some amazing art
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Step-by-step walkthrough on lip-syncing with Wav2Lip
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GeForce NOW expands touch control support to 13 more games this GFN Thursday. That means it’s easier than ever to take PC gaming on the go using mobile devices and tablets. The new “Mobile Touch Controls” row in the GeForce NOW app is the easiest way for members to find which games put the action Read article >
The post Get in Touch With New Mobile Gaming Controls on GeForce NOW appeared first on NVIDIA Blog.
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Sponsored Post Apply now to join Dr. Kirk Borne’s live interactive course, starting on November 28. Explore Machine Learning Live with hands-on labs and real world applications with Dr. Kirk Borne, ex-NASA Scientist and former Principal Data Scientist at Booz Allen Hamilton. He was also a professor of Astrophysics and Computational Science at […]
The post Interactive Machine Learning Live Course with Dr. Kirk Borne appeared first on Machine Learning Mastery.
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There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran. This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter today’s guest and his company Tarteel, a member of the Read article >
The post How Tarteel Uses AI to Help Arabic Learners Perfect Their Pronunciation appeared first on NVIDIA Blog.
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Hi, my name is Lex Fridman. I host a podcast. I'm talking to Andrej Karpathy on it soon. To me, Andrej is one of the best researchers and educators in the history of the machine learning field. If you have questions/topic suggestions you'd like us to discuss, including technical and philosophical ones, please let me know.
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Fillout is the first AI-powered form builder. Just describe your form and our AI will instantly generate a form for you to customize.
We're live on Product hunt and would appreciate your support and feedback! https://www.producthunt.com/posts/fillout-com
Check out the demo video on that post to see how the AI works and let me know if you have any questions - I'll be around :)
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Blog post
This uses a nice dataset by /u/gwern, and trains a decent latent-diffusion-based model from scratch, with several orders of magnitude less compute than Stable Diffusion (although anime-only, but it is better than Stable Diffusion on anime pictures).
FWIW, a self-hosted demo (I tried to restrict it to produce only safe samples)
It runs via Gradio proxy, so it is flaky and unstable at times, but works after some retries. I'll keep it running for the next several days.
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Text-Based Real Image Editing
Code: https://github.com/ShivamShrirao/diffusers/tree/main/examples/imagic
Colab: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/imagic/Imagic_Stable_Diffusion.ipynb
Still need to play around and tune the parameters a bit, may not work as is on every subject. Hopefully everyone can try it out now.
Input Image
A photo of Barack Obama smiling with a big grin.
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Businesses can lose billions of dollars each year due to malicious users and fraudulent transactions. As more and more business operations move online, fraud and abuses in online systems are also on the rise. To combat online fraud, many businesses have been using rule-based fraud detection systems. However, traditional fraud detection systems rely on a […]
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R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. RStudio, the integrated development environment for R, provides open-source tools and enterprise-ready professional software for teams to develop and share their work across their organization Building, […]
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As machine learning (ML) goes mainstream and gains wider adoption, ML-powered applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models. These models can be sequentially combined to perform various tasks, such as preprocessing, data transformation, model selection, inference […]
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Hello everyone!
What do you guys think are the most promising approaches to tune hyperparameters for training environments using standard algorithms like PPO, SAC or similar? Many papers that I come across still conduct trial-and-error or run grid searches.
As far as I know CleanRL implements TPE. Also, I'm wondering if F-Race is considerable.
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Paper: https://dl.acm.org/doi/10.1145/3503161.3548287
Project Page: https://roychowdhuryresearch.github.io/ODMO_ACMMM2022/
Github: https://github.com/roychowdhuryresearch/ODMO
https://reddit.com/link/y7jdz4/video/rqdi20lntmu91/player
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Recessions, it has been said, are typically only visible in a rear-view mirror. In theory, we are in a recession when the economy shrinks over two quarters. In practice, however, not all recessions are the same.
The post DSC Weekly 18 October 2022 – How the Pandemic Created a Time Warp appeared first on Data Science Central.
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Representation of data using graphics such as charts, plots, infographics, heat maps, bubble clouds, scatter plots, mekko charts, animation, etc., is termed data visualization. Such visual displays and representation of information help communicate complex data relationships and data-driven insights in a way that makes it easy to understand and base decisions on.
The post How Data Visualization is Essential for the Banking and Finance Sector appeared first on Data Science Central.
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This list is based on LinkedIn. Criteria for selection include the number of followers (above 50k), the relevancy and contributions to the field, relevant education and professional experience, as well as recent activity. This list is in alphabetical order. Kirk Borne. Worldwide top influencer since 2013. Data Scientist. Global Speaker. Consultant. Astrophysicist. Space Scientist. Big… Read More »Machine Learning Superstars: The Top 30 Influencers To Follow in 2023
The post Machine Learning Superstars: The Top 30 Influencers To Follow in 2023 appeared first on Data Science Central.
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As an application domain for IoT, smart cities initially showed promise but have struggled over the last decade. However, Smart islands (instead of smart cities) may be good for the success of the Internet of Things.
The post Drone-based IoT Connect Smart Islands appeared first on Data Science Central.
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Hi, there! My team prepared the report on what customers love and hate about customer service chatbots. Together with our project managers, and marketers we analyzed data of thousands of conversations with real users, and made thi reserach with insigts, stats and recommendations on how to overcome struggels.
This research would be helpful for:
Companies that have a chatbot that isn't performing well and they don't know why
Companies who want to implement a chatbot but are unsure about the best ways of creating a chatbot.
Important things!
Here're more details about our research:
Use case: Customer support
Platform: Website
Language: English
Locations: Europe, USA
Industries: E-commerce, Retail, Retail health
Here's the link to the general article on the best chatbot practices and there you'll find the research.
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Learn about how AI is used to identify pills with issues before they get to you…
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Hey everyone, thought this would be a fun read where we demonstrate clustering on the Pokémon character statistics database in just 15 minutes. Read here if you're interested!
If you have any question, feel free to ask away too.
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Speeding adoption of enterprise AI and accelerated computing, Oracle CEO Safra Catz and NVIDIA founder and CEO Jensen Huang discussed their companies’ expanding collaboration in a fireside chat live streamed today from Oracle CloudWorld in Las Vegas. Oracle and NVIDIA announced plans to bring NVIDIA’s full accelerated computing stack to Oracle Cloud Infrastructure (OCI). It Read article >
The post NVIDIA, Oracle CEOs in Fireside Chat Light Pathways to Enterprise AI appeared first on NVIDIA Blog.
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Meta today announced its next-generation AI platform, Grand Teton, including NVIDIA’s collaboration on design. Compared to the company’s previous generation Zion EX platform, the Grand Teton system packs in more memory, network bandwidth and compute capacity, said Alexis Bjorlin, vice president of Meta Infrastructure Hardware, at the 2022 OCP Global Summit, an Open Compute Project Read article >
The post Meta’s Grand Teton Brings NVIDIA Hopper to Its Data Centers appeared first on NVIDIA Blog.
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Editor’s note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology improves creative workflows. In the coming weeks, we’ll be deep diving on new GeForce RTX 40 Series GPU features, technologies and resources, and how they dramatically Read article >
The post Adobe MAX Kicks Off With Creative App Updates and 3D Artist Anna Natter Impresses This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Vehicle appraisals are getting souped up with a GPU-accelerated AI overhaul. ProovStation, a four-year-old startup based in Lyon, France, is taking on the ambitious computer-vision quest of automating vehicle inspection and repair estimates, aiming AI-driven super-high-resolution stations at businesses worldwide. It recently launched three of its state-of-the-art vehicle inspection scanners at French retail giant Carrefour’s Read article >
The post Souped-Up Auto Quotes: ProovStation Delivers GPU-Driven AI Appraisals appeared first on NVIDIA Blog.
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We have previously seen how to train the Transformer model for neural machine translation. Before moving on to inferencing the trained model, let us first explore how to modify the training code slightly to be able to plot the training and validation loss curves that can be generated during the learning process. The training and […]
The post Plotting the Training and Validation Loss Curves for the Transformer Model appeared first on Machine Learning Mastery.
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Lately, I have been getting many questions from folks who don’t have an engineering or computer science background, especially women…
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Predicting the Telecom Customer Churn.
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AI and ECM technologies are already having a big impact on education these days, and that impact is only going to keep growing in the…
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Studying users’ behavior and understanding their sentiments have become substantial to businesses with the increasing platforms operating…
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Today, Amazon SageMaker Canvas introduces the ability to use the Quick build feature with time series forecasting use cases. This allows you to train models and generate the associated explainability scores in under 20 minutes, at which point you can generate predictions on new, unseen data. Quick build training enables faster experimentation to understand how […]
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Exploratory data analysis (EDA) is a common task performed by business analysts to discover patterns, understand relationships, validate assumptions, and identify anomalies in their data. In machine learning (ML), it’s important to first understand the data and its relationships before getting into model building. Traditional ML development cycles can sometimes take months and require advanced […]
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Hey everyone, thought this would be a fun read where we demonstrate clustering on the Pokémon character statistics database in just 15 minutes. Read here if you're interested!
If you have any question, feel free to ask away too.
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All audio credits to TrollPhace!
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The world is watching the war Russia is waging against the Ukrainians. Most of it applauds how the Ukrainians adapt to a rapidly evolving environment and occasionally prevail. This article describes how the Ukrainian’s agility serves them quite well in the conflict.
The post Ukrainian Success Through the Lens of Agile appeared first on Data Science Central.
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A Business Discipline consists of systematic research, observation, measurement, and experimentation resulting in the assimilation of learnings into laws, theorems, concepts, principles, practices, frameworks, and formulas to enable the consistent application and ongoing enhancements from the real-world application of that discipline.
The post Data Management as a Business Discipline – Part 3: Enabling Frameworks appeared first on Data Science Central.
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Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format and time frames for specific users.
The post What is trustable data? Why do you need it? appeared first on Data Science Central.
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Adam Petway, strength and conditioning coach for the University of Louisville, is using his MIT Professional Education training to improve player performance off the court.
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Founded more than 91 years ago in Seattle, John L. Scott Real Estate’s core value is Living Life as a Contribution®. The firm helps homebuyers find and buy the home of their dreams, while also helping sellers move into the next chapter of their home ownership journey. John L. Scott currently operates over 100 offices […]
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Founded more than 91 years ago in Seattle, John L. Scott Real Estate’s core value is Living Life as a Contribution®. The firm helps homebuyers find and buy the home of their dreams, while also helping sellers move into the next chapter of their home ownership journey. John L. Scott currently operates over 100 offices […]
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I experimented with RL after college and threw together a tic-tac-toe program based on a section in the Sutton and Barto text. I eventually implemented an evolutionary algorithm to generalize from a small number of states. I apologize for the messiness of the code. I put this together during the free time I had between graduating and starting my job (I was actually on a plane the last time I worked on this). I just wanted make a post in case someone finds anything interesting in my approach. The repo can be found here.
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As a civil engineer, Scott Ashford used explosives to make the ground under Japan’s Sendai airport safer in an earthquake. Now, as the dean of the engineering college at Oregon State University, he’s at ground zero of another seismic event. In its biggest fundraising celebration in nearly a decade, Oregon State announced plans today for Read article >
The post AI Supercomputer to Power $200 Million Oregon State University Innovation Complex appeared first on NVIDIA Blog.
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I saw this post on r/MachineLearning about fine-tuning StableDiffusion on a custom dataset and decided to have a go. From a previous project, I had a dataset of images of Mobile Suits (i.e humanoid mechas) from the anime franchise Mobile Suit Gundam.
Project: https://github.com/Askannz/gundam-stable-diffusion (see there for code&data)
Some fun results: https://imgur.com/a/1Bg1Lyy
Colab demo: https://colab.research.google.com/drive/11Bdkub4OGtMNdSlMKx4fklB5LAtFFVpG
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A considerable percentage of new apps in the Google App store are removed for violating the store's guidelines. This is inconvenient for the users of these apps, who may lose their in-app data. Computer scientists from the University of Groningen have devised two machine learning models that can predict the chances of a new app being removed, both before and after uploading it to the app store. These models can help both developers and users. The details of this project are described in a paper that was published in the journal Systems and Soft Computing on Sept. 29.
The Google Play store has set rules and requirements that developers must adhere to. After being submitted, apps are immediately uploaded to the store, but it takes Google some time to vet them before they remove apps that ar…
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A couple of days ago, Stability AI “infiltrated” the r/StableDiffusion community, banned some of the users, kicked out the moderators and took over the subreddit
https://analyticsindiamag.com/when-stability-ai-went-rogue-on-reddit-rampage%ef%bf%bc/
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Amazon SageMaker multi-model endpoint (MME) enables you to cost-effectively deploy and host multiple models in a single endpoint and then horizontally scale the endpoint to achieve scale. As illustrated in the following figure, this is an effective technique to implement multi-tenancy of models within your machine learning (ML) infrastructure. We have seen software as a […]
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This post was co-written with Tobias Wenzel, Software Engineering Manager for the Intuit Machine Learning Platform. We all appreciate the importance of a high-quality and reliable machine learning (ML) model when using autonomous driving or interacting with Alexa, for examples. ML models also play an important role in less obvious ways—they’re used by business applications, […]
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Amazon Neptune ML is a machine learning (ML) capability of Amazon Neptune that helps you make accurate and fast predictions on your graph data. Under the hood, Neptune ML uses Graph Neural Networks (GNNs) to simultaneously take advantage of graph structure and node/edge properties to solve the task at hand. Traditional methods either only use […]
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If you’re like most people, you probably think that only highly intelligent people are capable of being creative. But as it turns out, this…
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(Unlocked bonus post - longggg bonus post!)
What does DALL-E2 generate when I ask it for the most popular Halloween candy of each US state?
Each prompt is included in the picture's caption - you can see that after a while I started varying it a bit, first
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Hi,
I run a startup with three other founders and I have a problem that machine learning and OCR (optical character recognition) would solve. But we are stretched thin and it has been a few years since my CTO - a software architect with nearly 40 years experience - worked on anything similar, so we are unsure if this exercise would pull us away from our core focus too much.
That is why we are looking for someone who is interested in taking on this problem as a project. This is a bounded problem, meaning it is very achievable. We just don't know how long it would take. We are willing to offer equity as part of an model called restricted stock units, so if we are commercially successful you would have a signed agreement from us to claim a nominal amount of shares.
The Problem
This is a s…
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I made a website for a PoC, but currently its not really working well
especially for those images that have some human-like brush styles
https://www.illuminarty.ai/
This started off as a pure hobby based but I started getting a bit of some traction from the art communities (mainly anime), now I am seriously considering if I should start spending more time on this but I lack brain cells
is anyone here interested in this topic? do you think this would be of any use?
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If you're looking for some of the interesting AI chatbot use cases with examples, it's a quick read:
https://www.haptik.ai/blog/conversational-ai-in-apac?utm_source=website&utm_medium=blog&utm_campaign=conversationalAI&utm_content=read+more
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You must have come across matrix multiplication in school textbooks. But did you know how relevant it is in every aspect of our daily lives, from processing images on our phones and recognising speech commands to generating graphics for computer games?
https://analyticsindiamag.com/why-solving-for-efficiency-of-matrix-multiplication-such-a-big-deal-in-computing/
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Amazon SageMaker Pipelines is a continuous integration and continuous delivery (CI/CD) service designed for machine learning (ML) use cases. You can use it to create, automate, and manage end-to-end ML workflows. It tackles the challenge of orchestrating each step of an ML process, which requires time, effort, and resources. To facilitate its use, multiple templates […]
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If you have searched for an item to buy on amazon.com, you have used Amazon Search services. At Amazon Search, we’re responsible for the search and discovery experience for our customers worldwide. In the background, we index our worldwide catalog of products, deploy highly scalable AWS fleets, and use advanced machine learning (ML) to match […]
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When it comes to reimagining the next generation of automotive, NIO is thinking outside the car. This month, the China-based electric vehicle maker introduced its lineup to four new countries in Europe — Denmark, Germany, the Netherlands and Sweden — along with an innovative subscription-based ownership model. The countries join NIO’s customer base in China Read article >
The post Hello, World: NIO Expands Global Footprint With Intelligent Vehicle Experiences appeared first on NVIDIA Blog.
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NVIDIA and Oracle are teaming to make the power of AI accessible to enterprises across industries. These include healthcare, financial services, automotive and a broad range of natural language processing use cases driven by large language models, such as chatbots, personal assistants, document summarization and article completion. Join NVIDIA and Oracle experts at Oracle CloudWorld, Read article >
The post Learn How NVIDIA Advances AI for Enterprises, at Oracle CloudWorld appeared first on NVIDIA Blog.
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Alien invasions. Gritty dystopian megacities. Battlefields swarming with superheroes. As one of Hollywood’s top concept artists, Drew Leung can visualize any world you can think of, except one where AI takes his job. He would know. He’s spent the past few months trying to make it happen, testing every AI tool he could. “If your Read article >
The post Press Art to Continue: New AI Tools Promise Art With the Push of a Button — But Reality Is More Complicated appeared first on NVIDIA Blog.
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High-end PC gaming arrives on more devices this GFN Thursday. GeForce NOW RTX 3080 members can now stream their favorite PC games at up to 1600p and 120 frames per second in a Chrome browser. No downloads, no installs, just victory. Even better, NVIDIA has worked with Google to support the newest Chromebooks, which are Read article >
The post GeForce NOW Streams High-Res, 120-FPS PC Gaming to World’s First Cloud Gaming Chromebooks appeared first on NVIDIA Blog.
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"On average, across 4 NLP tasks and 10 attention types, single layer wide models perform 0.3% better than their deep counterparts"
Discussions of some wide attention results
https://twitter.com/andrey_kurenkov/status/1579474438822985728
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All you have to do is input a YouTube video link and get a video with subtitles (alongside with .txt, .vtt, .srt files).
Whisper can translate 98 different languages to English. If you want to give it a try;
Link of the app: https://huggingface.co/spaces/BatuhanYilmaz/Auto-Subtitled-Video-Generator
https://reddit.com/link/y2cpjc/video/oiac58arcft91/player
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I would like you to give me your opinion and also tell me what could be improved. The video explains in detail the explainable artificial intelligence technique, LIME. The video derives from my bachelor's thesis. Thank you!
Understanding LIME | Explainable AI
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The age of electric vehicles has arrived and, with it, an entirely new standard for premium SUVs. Polestar, the performance EV brand spun out from Volvo Cars, launched its third model today in Copenhagen. With the Polestar 3, the automaker has taken SUV design back to the drawing board, building a vehicle as innovative as Read article >
The post Large and Fully Charged: Polestar 3 Sets New Standard for Premium Electric SUVs appeared first on NVIDIA Blog.
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This week 'In the NVIDIA Studio' creators can now pick up the GeForce RTX 4090 GPU, available from top add-in card providers including ASUS, Colorful, Gainward, Galaxy, GIGABYTE, INNO3D, MSI, Palit, PNY and ZOTAC, as well as from system integrators and builders worldwide.
The post GeForce RTX 4090 GPU Arrives, Enabling New World-Building Possibilities for 3D Artists This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Original tune melody is a slide guitar. The AI changed that to a human-like voicing.
The AI version is a rough cut but eq and processing cleaned it up a bit.
The AI created whispers throughout as well as changing the slide guitar.
Original
https://soundcloud.com/iamlazerkat/lost-in-the-fabric-of-space-time
AI
https://soundcloud.com/iamlazerkat/ai-voiced-lost-in-the-fabric-of-space-time
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For decades, making a machine fully capable of learning by observing its environment has been the biggest dream for many researchers. Though methods like supervised or reinforcement learning have made huge advancements, there is a lot of speculation if they are the right way forward.
https://analyticsindiamag.com/yann-lecuns-version-of-autonomous-machine-intelligence/
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A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or in an unstructured format like PDF. Each company may apply unique rules associated with its business background while processing these documents. How to extract information accurately and process them flexibly is […]
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More info at https://outsystems-ai-reading-group.github.io/
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Absolute beginner in model deployment here, looking to build an API endpoint to this model specifically. Most articles I found online are either too simplistic (docker+fastAPI, which is known be very slow for inference from transformers), or they are so complex that it goes over the top of my head.
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Climate Change, as an extension or corollary Energy Transitions, is undoubtedly one of the most critical issues that merit urgent and serious attention from policymakers, scientists, and governments across the globe. However, before looking for solutions, it is equally important to define and frame the problem in the most realistic and unbiased way to ensure the holistic nature of the solution(s).
The post Energy Transitions: We Need To Redefine the Problem and Reframe the Narrative appeared first on Data Science Central.
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In Part 1 of the “Building Blocks for Modern Data Management”, I explored two important modern data management concepts: Data Subassemblies and Data Products (Figure 1). Data Subassemblies are the packaging and pre-wiring of data and its supporting accouterments (e.g., enriched metadata, data access methods, data governance policies and procedures, data access security protocols, data… Read More »Data Subassemblies and Data Products Part 2: Economics and Journey Maps
The post Data Subassemblies and Data Products Part 2: Economics and Journey Maps appeared first on Data Science Central.
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The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications - especially in deep learning and image processing.
The post AlphaTensor and Its Implications for AI, Reinforcement Learning, and Science appeared first on Data Science Central.
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Use cases for ML are seemingly infinite, from automatic responses to queries and automated stock trading, to recommendation engines and customer experience enhancements
The post Declarative Machine Learning Alone isn’t Enough for the Data Science Community appeared first on Data Science Central.
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Enterprises often deal with large volumes of IT service requests. Traditionally, the burden is put on the requester to choose the correct category for every issue. A manual error or misclassification of a ticket usually means a delay in resolving the IT service request. This can result in reduced productivity, a decrease in customer satisfaction, […]
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This article is part of a series please read The Marvellous Link first to get a better understanding.
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Automatic subtitle translate and dubbing on YouTube from English to Russian using computer vision
medium article: https://medium.com/@wb-08/automatic-subtitles-dubbing-on-youtube-using-computer-vision-35ad776ffe18
github repo: https://github.com/wb-08/SubVision
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In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters who exploit mobile apps. GrabDefence (GD), Grab’s proprietary fraud detection and prevention technology, and AWS have launched GDxAFD, a fraud detection solution tailored for mobile apps that integrates GD’s device intelligence […]
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Automated outbound calls are the preferred method of interaction with clients. We have all received an automated call and they will try to sell us something. When handled properly, these calls can enhance customer experience and boost productivity at your company. All you require is the appropriate outbound automated calling solution. These tools take every… Read More »How Automatic Outbound Calling is Important for Small Businesses
The post How Automatic Outbound Calling is Important for Small Businesses appeared first on Data Science Central.
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Source: Unsplash When starting any business, the first step is to create a business plan. A business plan is a document that outlines your business goals and how you plan to achieve them. For a coworking space, you will want to focus on specific aspects of your business when creating your plan. This blog post… Read More »How to write a profitable business plan for a coworking business
The post How to write a profitable business plan for a coworking business appeared first on Data Science Central.
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Back in 2018, BERT got people talking about how machine learning models were learning to read and speak. Today, large language models, or LLMs, are growing up fast, showing dexterity in all sorts of applications. They’re, for one, speeding drug discovery, thanks to research from the Rostlab at Technical University of Munich, as well as Read article >
The post Beyond Words: Large Language Models Expand AI’s Horizon appeared first on NVIDIA Blog.
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Evaluation is a main part for any project, in Biometric system there are a some special evaluation parts used for security reasons and…
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I am trying to calculate the Syntactic divergence for my private Question Answering dataset, but I couldn't find any good implementation or explanation on how to do it in Python.
While Searching, I found This [GitHub script][1] and [this script][2] but couldn't understand the code. Could someone provide a neat example in Python of how to calculate the Syntactic divergence for a custom question-answering dataset?
[1]: https://github.com/Lallivero/qna/blob/master/src/analysis/qa_analysis.py
[2]: https://github.com/Lallivero/qna/blob/10c1106b019dcf0536785db0556f98241da04119/src/dataset_stat/analyze_dep_path.py
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Using Red Hat OpenShift Data Science to create a fully supported sandbox in which to rapidly develop, train, and test machine learning (ML) models in the public cloud before deploying in production.
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We have arrived at a point where we have implemented and tested the Transformer encoder and decoder separately, and we may now join the two together into a complete model. We will also see how to create padding and look-ahead masks by which we will suppress the input values that will not be considered in […]
The post Joining the Transformer Encoder and Decoder Plus Masking appeared first on Machine Learning Mastery.
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